Tutorials offered at VTC2013-Fall
|Tutorial Name||Presented by||Time||Room|
|T1||Cooperative Near-Capacity Wireless System Design||Lajos Hanzo, University of Southampton, UK||08:30–17:00||TBA|
|T2||LTE-Advanced Modem Design: Challenges and Perspectives||Dongwoon Bai, Claudio R. C. M. da Silva, and Jungwon Lee||13:30–17:00||TBA|
|T3||Intelligent Energy Control and Management in Hybrid Electric Vehicles(HEV)||Yi Lu Murphey, Professor and Chair, ECE Department, University of Michigan-Dearborn||CANCELLED|
|T4||Simulation-Based Dynamic Traffic Assignment for the Deployment of Intelligent Transportation Systems||Alexander Paz (University of Nevada, Las Vegas)||CANCELLED|
|T5||Spatial Modulation for MIMO Wireless Systems||Marco Di Renzo (CNRS) Ali Ghrayeb (Concordia Univ.) Harald Haas (Univ. Edinburgh)||08:30–12:00||TBA|
|T6||Networking in White Spaces: Regulations, Standards, and Applications||Golnaz Farhadi (Fujitsu Labs of America, Inc.) and Apurva Mody (WhiteSpace Alliance)||CANCELLED|
T1: Cooperative Near-Capacity Wireless System Design
Presented by: Lajos Hanzo, University of Southampton, UK
This overview introduces the principles of cooperative communication,
commencing with the introduction of the basic MIMO types of
2. Space-time coding;
3. Spatial Division Multiplexing;
4. Spatial Division Multiple Access;
The limitations of MIMOs relying on co-located array-elements are
highlighted and it is shown, how the single-antenna-aided cooperative mobiles may circumvent these limitations by forming MIMOs having distributed elements. This concept is also referred to a Virtual Antenna Arrays (VAA). Then the corresponding amplify-forward and decode-forward protocols as well as their hybrids are studied. Channel coding has to be specifically designed for the VAAs in order to prevent avalanche-like error-propagation. Hence sophisticated three-stage-concatenated iterative channel coding schemes are proposed and it is argued that in the absence of accurate channel information at the relays the best way forward might be to use multiple-symbol differential detection. Indeed, it is rather unrealistic to expect that an altrustically relaying handset would also accurately estimate the source-relay channel for the sake of high-integrity coherent detection. EXIT-chart-aided designs are used for creating near-capacity solutions and a range of future research directions as well as open problems are stated.
Upon completion of this tutorial, participants will be able to:
o Decide upon the AF versus DF design benefits;
o Resolve the coherent versus non-coherent cooperation dilemma;
o Engage in research on novel cooperative solutions for wireless systems;
- Cooperative Adaptive Modulation;
- Successive Relaying Aided Near-Capacity Irregular Distributed Space-Time Coding;
- Coherent versus Non-Coherent Detection;
- Resource-Optimized Differentially Modulated Hybrid AF/DF Cooperation Dispensing with Channel Estimation;
- Distributed Channel Coding;
- Multiple Source Cooperation;
- Synchronous versus Asynchronous Cooperative Systems;
Whilst this overview is ambitious in terms of providing a research-oriented outlook, potential attendees require only a modest background in wireless networking and communications. The mathematical contents are kept to a minimum and a conceptual approach if adopted. Postgraduate students, researchers and signal processing practitioners as well as managers looking for cross-pollination of their experience with other topics may find the coverage of the presentation beneficial. The participants will receive the set of slides as supporting material and they may find the detailed mathematical analysis in the above-mentioned books.
This cutting-edge research-overview considers a broad range of cutting-edge scientific aspects as well as the practical aspects of cooperative systems.
Lajos Hanzo (http://www-mobile.ecs.soton.ac.uk) FREng, FIEEE, FIET, Fellow of EURASIP, DSc has held various research and academic posts in Hungary, Germany and the UK. He has co-authored 20 Wiley-IEEE Press books and has 1300+ research contributions at IEEE Xplore.
He presented recent short courses for example at: ICC'2008, Beijing, China; VTC'2008 Spring Singapore; WCNC'2008, Las Vegas; VTC'2008 Fall, Calgary, Canada; Globecom'2008, New Orleans, USA; VTC'2009 Spring, Barcelona, Spain; ICC'2009 Dresden, Germany; VTC'2009 Anchorage, USA; Globecom 2009, Hawaii, USA; NCC'2010, Chennai, India; VTC'2010 Spring, Taipei, Taiwan; ICC'2010, Capte Town, South Africa; VTC'10 Fall Ottawa; ICC 2011 Kyoto, Japan; WCNC 2011 Cancun, Mexico; VTC 2011 Fall San Francisco, USA; Globecom'11 Houston, USA; ICC'12 Ottawa; VTC'12F, Quebec, Canada; Globecom'12 Anaheim, USA; WCNC'13 Shanghai, China;
T2: LTE-Advanced Modem Design: Challenges and Perspectives
Presented by: Dongwoon Bai, Claudio R. C. M. da Silva, and Jungwon Lee
Following the great commercial success of LTE Release 8/9, LTE-Advanced is set to become the leading solution for 4G cellular systems across the globe. LTE-Advanced meets or exceeds the requirements set by the ITU for IMT-Advanced and offers increased peak data rate (3 Gbps in the downlink), higher spectral efficiency (30 b/s/Hz), and support to a larger number of simultaneously active subscribers. In order to meet such ambitious performance targets, LTE-Advanced relies on innovative radio-access technologies that bring new challenges to its design and implementation. In this tutorial, our main goal is to identify the main challenges in the design of signal processing algorithms and physical layer techniques for LTE-Advanced Release 10/11 mobile terminals, and to discuss possible solutions to the identified technical issues. The primary areas to be covered for Release 10 are: carrier aggregation, enhanced inter-cell interference coordination (eICIC) for heterogeneous networks (HetNets), detection of eight-layer transmission, reference signals for enhanced multi-antenna support, and hybrid automatic repeat request (HARQ) buffer management. Covering Release 11 modem design challenges, coordinated multiple point (CoMP) transmission and reception will also be discussed. For each of these topics, we present an overview of their main design challenges and discuss possible solutions.
To meet the spectral efficiency and peak throughput targets defined in the IMT-Advanced (4G cellular) specifications, LTE-Advanced relies on a number of advanced radio-access technologies that can still be considered as 'work-in-progress' and present interesting design and implementation challenges. These technologies include carrier aggregation, heterogeneous networks, extended multi-antenna transmission, and coordinated multiple point operation, among others.
Our objective in this tutorial is not to give a general overview of LTE/LTE-Advanced. Instead, our primary goal is to identify the main challenges in the design of signal processing algorithms and physical layer techniques for LTE-Advanced terminals and to discuss possible solutions to the identified technical issues. By shedding light on design challenges and potential research venues, we hope to promote research and the advancement of future cellular networks and, in particular, of the physical-layer of LTE-Advanced systems among IEEE members, who undoubtedly will continue playing a critical role in their evolution.
- Introduction to the instructors
- Goals and outline
- Background of LTE-Advanced
- Evolution and standardization
- System architecture, overview of LTE radio access
- Radio protocol architecture, physical transmission resources
- Reference and control signaling (focus on downlink processing)
- Multi-antenna transmission (focus on downlink processing)
- Coordinated multiple point
- LTE Release 8/9 vs. LTE-Advanced Release 10/11
- Retransmission protocols
- Introduction to hybrid automatic repeat request (HARQ)
- Storage requirement analysis
- Compression, buffer management techniques
- Extended multi-antenna transmission
- Detection of eight-layer transmission
- Reference signals
- Heterogeneous networks
- Introduction, definitions, standard elements
- Enhanced Inter-Cell Interference Coordination (eICIC)
- Carrier aggregation
- Definitions and standard elements
- Reference and control signaling: Decoding and tracking, radio link monitoring
- RF implementation issues
- System/network-level challenges
- Coordinated multiple point operation
- Introduction to coordinated multiple point (CoMP) and its physical layer aspects
- CSI-RS and CSI feedback enhancement for downlink CoMP
- Antenna co-location
The tutorial is intended for engineers, researchers, and graduate students with a background in wireless communications (receiver design, algorithm development, digital signal processing) working in or entering the field of modem design for cellular applications, LTE/LTE-Advanced systems, and/or one of the many technologies used in the LTE standard (such as MIMO, OFDM, hybrid ARQ, and interference management and mitigation, among others). The tutorial will be designed to ensure that no prior knowledge of LTE/LTE-Advanced is required for attendance.
The proposed tutorial will be presented by three senior researchers of Samsung's Mobile Solutions Lab (MSL) in San Diego, CA. MSL is a new R&D center dedicated to fundamental research on wireless communications in support of Samsung's LTE/LTE-Advanced modem development. Being at the intersection of basic research and product development gives us a unique viewpoint on advanced receiver design and enables us to identify key research areas of future cellular systems. In the proposed tutorial, we will share this valuable experience and some results of our recent work in the area.
Dongwoon Bai is currently with Samsung Mobile Solutions Lab where he serves as a technical leader for a team of engineers with PhD degrees. In 2009, he joined AppliedMicro (AMCC) developing 10 gigabit Ethernet chipset over copper cables (10GBASE-T). Since 2011, he has been with Samsung.
He received the B.S. degree in electrical engineering from Seoul National University in 1998 and the M.S. degree in electrical engineering from KAIST in 2000. He received the S.M. degree in applied mathematics and the Ph.D. degree in engineering science from Harvard University in 2006 and 2009, respectively.
Claudio R. C. M. da Silva is a Senior Staff Engineer with Samsung Mobile Solutions Lab. He has over ten years of experience in the design and analysis of receiver architectures and signal processing algorithms for advanced wireless communication devices. Prior to joining Samsung, Dr. da Silva was an Assistant Professor at Virginia Tech, where he conducted research on dynamic spectrum access and cognitive radio networks. Dr. da Silva received the B. S. and M. S. from the State University of Campinas in 1999 and 2001, respectively, and the Ph.D. from the University of California, San Diego in 2005.
Jungwon Lee is a Senior Director at Samsung Mobile Solutions Lab in San Diego, CA. He received his PhD degree in Electrical Engineering from Stanford University in 2005. From 2000 to 2003, he worked for National Semiconductor, Telcordia Technologies, AT&T Shannon Labs Research, and Ikanos Communications as a research intern or a consultant. From 2003 to 2010, he was with Marvell Semiconductor Inc., as a Principal Engineer. Since 2010, he has been with Samsung US R&D Center.
T3: Intelligent Energy Control and Management in Hybrid Electric Vehicles(HEV) by Yi Lu Murphey, Professor and Chair, ECE Department, University of Michigan-Dearborn has been cancelled
T4: Simulation-Based Dynamic Traffic Assignment for the Deployment of Intelligent Transportation Systems by Alexander Paz (University of Nevada, Las Vegas) has been cancelled
T5: Spatial Modulation for MIMO Wireless Systems
Presented by: Marco Di Renzo (CNRS) Ali Ghrayeb (Concordia Univ.) Harald Haas (Univ. Edinburgh)
The key challenge for future wireless communications is to make these networks energy-efficient and spectrum efficient at the same time. This results in a paradigm-shifting requirement which necessitates a clean-slate approach of wireless system design. Clearly, such approach will have to embrace the rich body of knowledge that has been created especially on Multiple-Input-Multiple-Output (MIMO) technology during the last 25 years. This motivates us to give a tutorial on an emerging wireless communications concept for 'massive' MIMO systems, which is today known under the name of Spatial Modulation (SM). SM has recently established itself as a beneficial transmission paradigm, potentially subsuming all members of the MIMO wireless system family, which exploits multiple antennas in a novel fashion. The research on SM has reached sufficient maturity to substantiate its claimed advantages compared with state-of-the-art standardized MIMO concepts, as well as its applications to other emerging wireless systems such as relay-aided, cooperative, small cell, optical wireless, and green communications. Furthermore, it has received sufficient attention to be implemented in testbeds, and holds the promise of stimulating further vigorous inter-disciplinary research in the next years. We believe that this is a timely topic and we anticipate that this tutorial will be of interest to many researchers/students/practitioners with different backgrounds.
Future wireless communication systems deployment, including fifth generation (5G) cellular systems, will be based on the MIMO transmission technology. Conventional MIMO schemes usually take advantage of the many antennas available at the transmitter by simultaneously transmitting multiple data streams from all of them. Furthermore, common open-loop MIMO schemes usually assume that all transmit-antennas are simultaneously active at any time instance. By properly choosing the transmission matrices, both multiplexing and transmit-diversity gains can be obtained via space-time coding. As a consequence, higher data rates and smaller error performance are obtained at the cost of: i) increasing the signal processing complexity at the receiver, which is caused by the need to counteract the interference created by simultaneously transmitting many data streams; and ii) making more stringent the synchronization requirements among the transmit-antennas.
Furthermore, more recently, with the advent of the green and sustainable information and communication era, state-of-the-art MIMO schemes are facing two additional major challenges: i) the need of multiple RF chains at the transmitter to be able to simultaneously transmit many data streams, which do not scale with Moore's law and make the transmitter very bulky; and ii) the need of independent power amplifiers for each RF chain, each one being responsible of the vast majority of the power consumed at the transmitter as well as being extremely power inefficient due to the stringent linearity requirements of state-of-the-art phase/amplitude modulations. For example, recent studies have shown that, for a fixed RF output power, the total power consumption of base stations linearly increases with the number of active RF chains.
These considerations imply that a major challenge of next-generation MIMO-enabled wireless networks is the design of multi-antenna transmission schemes with a limited number of active RF chains aiming at reducing circuitry complexity, inter-antenna synchronization requirements, inter-channel interference, signal processing complexity at the receiver, as well as at improving the energy efficiency. Fueled by these considerations, SM has recently established itself as an emerging and promising transmission concept belonging to the 'massive' MIMO wireless systems family but exploiting the multiple antennas in a novel way compared with state-of-the-art high-complexity and power-hungry classic MIMOs. This tutorial is intended to offer a comprehensive state-of-the-art survey on SM-MIMO, the critical appraisal of its beneficial application domains and their research challenges, the analysis of the related technological issues associated with the implementation of SM-MIMO, and, finally, the description of the world's first experimental activities in this research field.
- 1. SM-MIMO: Operating Principle and Generalized Transceiver Design
- a. Short overview of MIMO wireless systems
- b. Advantages and disadvantages of MIMO, and motivation behind SM-MIMO
- c. Generalized MIMO transceiver based on SM (transmitter, receiver, spatial- and signal-constellation diagrams)
- d. Advantages and disadvantages of SM-MIMO (single-RF, single-stream decoding, low-complexity 'massive' implementation, etc.)
- 2. SM-MIMO: A Comprehensive Survey
- a. Historical perspective
- b. State-of-the-art on transmitter design
- c. State-of-the-art on receiver design
- d. State-of-the-art on transmit-diversity and space-time-coded SM-MIMO
- e. State-of-the-art on performance and capacity analysis over fading channels
- f. State-of-the-art on performance and design in the presence of multiple-access interference
- g. State-of-the-art on robustness to channel state information at the receiver
- h. etc.
- 3. SM-MIMO: Application Domains Beyond the PHY-Layer
- a. Distributed/network implementation of SM-MIMO
- b. Application to relaying-aided and cooperative wireless networks
- c. Application to green networks: 'Massive' SM-MIMO design and the GreenTouch initiative
- d. Application to visible light communications: From MIMO-WiFi to SM-MIMO-LiFi
- 4. SM-MIMO: Research Challenges and Opportunities
- a. Space-time coded SM-MIMO with single-RF transmitter and single-stream decoding
- b. Channel-aware receiver design for distributed SM-MIMO design
- c. Channel-aware robust pre-coding for network SM-MIMO design
- d. Interference-aware transmitter and receiver design for heterogeneous small cell cellular systems
- e. Implementation challenges of SM-MIMO design
- 5. SM-MIMO: From Theory to Practice - Initial Experimental Results and Channel Measurements from a Testbed Platform
- a. Description of the hardware testbed
- b. Description of the measurements campaign
- c. Real-world performance results and comparison with state-of-the-art MIMO
Students, researchers and industry affiliations, and individuals working for government, military, science/technology institutions who would like to learn more about innovative MIMO concepts for low-complexity and energy-efficient wireless systems, and their applications to emerging communication paradigms. The tutorial is intended to provide the audience with a complete overview of potential benefits, research challenges, implementation efforts, and applications to many future wireless systems and standards, with the inclusion of the emerging pre-standardization activities on large-scale ('massive') MIMO systems.
This tutorial addresses a very recent transmission technology for MIMO wireless systems, which has been receiving for the past few years the interest of a broad research community across all continents. Hence, it is expected to draw a lot of interest from the wireless communications community from different parts of the world. The broad tutorial outline covering state-of-the-art, applications, implementation challenges, and experimental activities has never been offered to our research community before.
Marco Di Renzo (M'09) is a Tenured Researcher with the French National Center for Scientific Research (CNRS), and an academic staff member of the Laboratory of Signals and Systems (L2S), a joint research laboratory of CNRS, SUPELEC, and the University of Paris-Sud XI, France. He is the recipient of the special mention for the outstanding five-year (1997-2003) academic career; the THALES Communications fellowship for doctoral studies (2003-2006); the Torres Quevedo award for his research on ultra wide band systems and cooperative localization for wireless networks (2008-2009); and the IEEE CAMAD 2012 Best Paper Award. Currently, he serves as an Editor of the IEEE Communications Letters.
Ali Ghrayeb (SM'06) is a Professor with Concordia University, Canada. He is a co-recipient of the IEEE Globecom 2010 Best Paper Award. He holds a Concordia University Research Chair in Wireless Communications. Dr. Ghrayeb has instructed/co-instructed technical tutorials related to MIMO systems at several major IEEE conferences. He serves as an Editor of the IEEE Transactions on Wireless Communications, the IEEE Transactions on Communications. He served as an Editor of the IEEE Transactions on Signal Processing, an Associate Editor of the IEEE Transactions on Vehicular Technology.
Harald Haas (M'03) holds the Chair of Mobile Communications in the Institute for Digital Communications (IDCOM) at the University of Edinburgh, UK. He holds more than 23 patents. Since 2007, he has been a Regular High Level Visiting Scientist supported by the Chinese '111 program' at Beijing University of Posts and Telecommunications. He was an invited speaker at the TED Global conference 2011. He has been shortlisted for the World Technology Award for communications technology (individual) 2011. He is Associate Editor of IEEE Transactions on Communications. He recently has been awarded the EPSRC Established Career Fellowship.
T6: Networking in White Spaces: Regulations, Standards, and Applications by Golnaz Farhadi (Fujitsu Labs of America, Inc.) and Apurva Mody (WhiteSpace Alliance) has been cancelled